Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio, and Bram Adams. 2018. Using experience sampling to link software repositories with emotions and work well-being. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '18). ACM, New York, NY, USA, Article 29, 10 pages. DOI: https://doi.org/10.1145/3239235.3239245
Using experience sampling to link software repositories with emotions and work well-being
|Author:||Kuutila, Miikka1; Mäntylä, Mika V.1; Claes, Maëlick1;|
1M3S, ITEE, University of Oulu, Finland
2Department of Psychology and Logopedics, University of Helsinki, Finland
3MCIS, Polytechnique Montreal, Canada
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201901041362
Association for Computing Machinery,
|Publish Date:|| 2019-01-04
Background: The experience sampling method studies everyday experiences of humans in natural environments. In psychology it has been used to study the relationships between work well-being and productivity. To our best knowledge, daily experience sampling has not been previously used in software engineering.
Aims: Our aim is to identify links between software developers self-reported affective states and work well-being and measures obtained from software repositories.
Method: We perform an experience sampling study in a software company for a period of eight months, we use logistic regression to link the well-being measures with development activities, i.e. number of commits and chat messages.
Results: We find several significant relationships between questionnaire variables and software repository variables. To our surprise relationship between hurry and number of commits is negative, meaning more perceived hurry is linked with a smaller number of commits. We also find a negative relationship between social interaction and hindered work well-being.
Conclusions: The negative link between commits and hurry is counter-intuitive and goes against previous lab-experiments in software engineering that show increased efficiency under time pressure. Overall, our is an initial step in using experience sampling in software engineering and validating theories on work well-being from other fields in the domain of software engineering.
ESEM '18 Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Oulu, Finland, October 11-12, 2018
ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
The first, second and third author have been supported by Academy of Finland grant 298020. The first author has been supported by Kaute-foundation.
|Academy of Finland Grant Number:||
298020 (Academy of Finland Funding decision)
© 2018 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '18). DOI: https://doi.org/10.1145/3239235.3239245.